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- Dask Persist · 5 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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290586126 | https://github.com/pydata/xarray/issues/1344#issuecomment-290586126 | https://api.github.com/repos/pydata/xarray/issues/1344 | MDEyOklzc3VlQ29tbWVudDI5MDU4NjEyNg== | shoyer 1217238 | 2017-03-31T00:55:06Z | 2017-03-31T00:55:14Z | MEMBER |
I think the idea is that they could be mixed types, e.g., a dask-dataframe, a dask-array and an xarray Dataset or DataArray. |
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Dask Persist 218315793 | |
290585910 | https://github.com/pydata/xarray/issues/1344#issuecomment-290585910 | https://api.github.com/repos/pydata/xarray/issues/1344 | MDEyOklzc3VlQ29tbWVudDI5MDU4NTkxMA== | rabernat 1197350 | 2017-03-31T00:53:23Z | 2017-03-31T00:53:23Z | MEMBER | In this example, are x, y and z dask objects or xarray objects? |
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290539816 | https://github.com/pydata/xarray/issues/1344#issuecomment-290539816 | https://api.github.com/repos/pydata/xarray/issues/1344 | MDEyOklzc3VlQ29tbWVudDI5MDUzOTgxNg== | mrocklin 306380 | 2017-03-30T20:46:27Z | 2017-03-30T20:46:27Z | MEMBER | We do eventually want to support some sort of duck typing. This way people can do things like the following while still benefiting from shared intermediates:
But this may not happen as quickly as a |
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290539160 | https://github.com/pydata/xarray/issues/1344#issuecomment-290539160 | https://api.github.com/repos/pydata/xarray/issues/1344 | MDEyOklzc3VlQ29tbWVudDI5MDUzOTE2MA== | rabernat 1197350 | 2017-03-30T20:44:00Z | 2017-03-30T20:44:00Z | MEMBER | since we already have |
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Dask Persist 218315793 | |
290535432 | https://github.com/pydata/xarray/issues/1344#issuecomment-290535432 | https://api.github.com/repos/pydata/xarray/issues/1344 | MDEyOklzc3VlQ29tbWVudDI5MDUzNTQzMg== | shoyer 1217238 | 2017-03-30T20:29:56Z | 2017-03-30T20:29:56Z | MEMBER | I'm happy with either or both of these solutions. |
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Dask Persist 218315793 |
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